SAS® Visual Statistics

SAS®
VISUAL STATISTICS

Discover. Predict. Act. Decisively.

Interactive data exploration and discovery combined with the ability to easily build and adjust huge numbers of predictive models on the fly.

Descriptive and predictive modeling

Visually explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics. Use machine learning techniques to build predictive models from a visual or programming interface.

Open, code-based model development

Programmatically access analytical actions from SAS Studio, call them from other languages – Python, R, Lua, Java – or use public REST APIs to add SAS Analytics to existing applications.

Dynamic group-by processing

Concurrently build models and process results for each group or segment without having to sort or index data each time.

Uncover opportunities faster than your competitors.

Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue.

Put better models into action faster.

Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with automatically generated score code.

Boost analytical productivity.

Gain the freedom to experiment.

Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets – whether created using SAS or other languages like R, Python, Java or Lua – within a common solution.